This project implements a binary classification model using TensorFlow/Keras with a simple neural network architecture. The model is trained on randomly generated data and visualizes the training ...

Welcome to your gateway to the IMF's global economic data. Our new data portal provides streamlined access to timely, reliable, and easy-to-understand macroeconomic and financial data. While the ...

Some companies have built an entire business model around consumer data ... To transform the data into cash flow Companies that capture data stand to profit from it. Data brokers, or data service ...

Strong focus on data insights & impact. A deep learning classifier built with PyTorch and MONAI to detect Popcorn Lung (Bronchiolitis Obliterans) from chest X-ray images. This binary classifier uses a ...

We propose a predictive model beyond classification by combining data mining techniques such as decision trees, clustering, and frequent pattern analysis. Decision trees, a data mining technique that ...

We conduct the cross-subject emotion classification experiments on DEAP data set to evaluate the model performance. The experimental results show that in valence and arousal dimensions, our model on 1 ...

The key components of data flow are: A common way to visualize data flow is through data flow diagrams (DFDs). DFDs illustrate the movement of data between different components, making it easier to ...

USU’s data classification system organizes data into three tiers based on the potential adverse impact of unauthorized access, use, or alteration. This system helps us manage risks associated with ...

Among the seven tested ML models, the best performance was achieved in the Gradient Boosting model ... original data were cross-checked by two workers, and researchers then randomly selected 5% of the ...

1 Day SONY 4.03% DJIA 1.78% S&P 500 2.05% Technology 0.00% ...